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News/Tuning Derivatives for Causal Fairness in Machine Learning
arxiv
PublishedJuly 13, 2026 at 4:00 AM
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Tuning Derivatives for Causal Fairness in Machine Learning

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arXiv:2605.05882v2 Announce Type: replace-cross Abstract: Artificial-intelligence systems are becoming ubiquitous in society, yet their predictions typically inherit biases with respect to protected attributes such as race, gender, or age. Classical fairness notions, most notably Statistical Parity

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